The video discusses a new approach to AI that differs from the current LLM paradigm. While LLMs generate content by building the next pixel or text sequentially, this alternative approach suggests that the current foundation may be flawed. The speaker proposes starting over from the basics and building something better based on lessons learned, rather than continuing to improve upon the existing LLM architecture.
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AI REVOLUTION: Yan LeCun's Radical New Approach Beyond LLMs! #shortsインデックス作成:
A new perspective on AI challenges the fundamental structure of LLMs. It suggests starting over from the basics to build a more robust and advanced system based on learned lessons. #AI #ArtificialIntelligence #LLMs #FutureOfTech #Innovation
new interviews [clears throat] that he has out in the last couple weeks about, you know, his new approach to AI and how he sees it superseding LLMs.
And that will be interesting, too, cuz he's looking at it from a whole new direction than just how LLMs just are generative. They're just They're just building the next pixel, the next the next text, where he's looking at it from a whole new direction of, you know, maybe we built this house of cards wrong. We need to just kind of start over and basically like start start at the basics and and build something better from what we've learned. And it'll be very interesting to see what he comes up with out of all this.
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